@inproceedings{202,
  author = {Ana Palacios and Luciano Sánchez and Inés Couso},
  editor = {Emilio Corchado and Xindong Wu and Erkki Oja and álvaro Herrero and Bruno Baruque},
  title = {A Minimum-Risk Genetic Fuzzy Classifier Based on Low Quality Data},
  abstract = {Minimum risk classification problems use a matrix of weights for defining the cost of misclassifying an object. In this paper we extend a simple genetic fuzzy system (GFS) to this case. In addition, our method is able to learn minimum risk fuzzy rules from low quality data. We include a comprehensive description of the new algorithm and discuss some issues about its fuzzy-valued fitness function. A synthetic problem, plus two real-world datasets, are used to evaluate our proposal.},
  year = {2009},
  pages = {654-661},
  publisher = {Springer Berlin Heidelberg},
  address = {Berlin, Heidelberg},
  isbn = {978-3-642-02319-4},
}